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Information Technology 🏢 Full Time ⭐️ Terverifikasi

Senior Software Engineer, AI/ML

InnovateTech Solutions
San Francisco
Estimasi Gaji
USD 180.000 – USD 240.000
Live Update
18 Mei 2026
Batas Akhir
18 Mei 2027

Deskripsi Pekerjaan

Are you a visionary Senior Software Engineer with a profound passion for Artificial Intelligence and Machine Learning? InnovateTech Solutions is actively seeking a talented and driven individual to join our cutting-edge team in the heart of San Francisco. We are dedicated to pioneering the next generation of intelligent systems that will fundamentally reshape industries and human interaction. If you thrive in a collaborative, fast-paced environment, possess an insatiable curiosity for complex challenges, and are eager to make a tangible, impactful contribution, we warmly invite you to connect with us.

At InnovateTech, you will be positioned at the vanguard of technological innovation, working on mission-critical AI/ML projects that directly fuel our core product offerings and services. Your role will involve spearheading the design, development, and seamless deployment of highly scalable and robust solutions, leveraging your deep expertise to craft high-performance systems that set new industry benchmarks. This presents an unparalleled opportunity to influence the future trajectory of technology, collaborating alongside a brilliant cadre of engineers and researchers.

Tanggung Jawab

  • Lead the full lifecycle design, meticulous development, and robust deployment of scalable AI/ML models and complex systems.
  • Collaborate intensely with cross-functional engineering, product, and research teams to meticulously define project requirements and deliver exceptional, production-ready solutions.
  • Architect and implement highly efficient, robust data pipelines critical for the training, validation, and inference phases of sophisticated machine learning models.
  • Conduct rigorous code reviews, provide invaluable mentorship and guidance to junior and mid-level engineers, and champion the adoption of best engineering practices.
  • Proactively research, evaluate, and integrate nascent AI/ML technologies, cutting-edge frameworks, and advanced methodologies to maintain a competitive edge.
  • Continuously optimize existing algorithms and models for peak performance, unparalleled scalability, and cost-effective operational efficiency.
  • Diagnose, troubleshoot, and expertly resolve intricate technical issues spanning the entire AI/ML stack, from data ingestion to model deployment.
  • Actively contribute to the overarching technical strategy and forward-looking roadmap for all significant AI/ML initiatives.

Kualifikasi

  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a closely related quantitative STEM field.
  • Minimum of 5+ years of progressive professional experience in software engineering, with a pronounced and demonstrable focus on AI/ML applications.
  • Exceptional proficiency in Python, coupled with extensive hands-on experience with industry-leading AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
  • Profound understanding of core machine learning algorithms, deep learning architectures, statistical modeling techniques, and data science principles.
  • Proven experience with major cloud platforms (AWS, Azure, GCP) and familiarity with containerization technologies (Docker, Kubernetes).
  • Superior analytical and problem-solving capabilities, with a proven ability to thrive both independently and within a highly collaborative team environment.
  • Outstanding verbal and written communication skills, capable of articulating complex technical concepts clearly to diverse audiences.
  • Practical experience with MLOps practices, tools, and principles for managing the ML lifecycle is a significant advantage.

Keahlian yang Dibutuhkan

Python TensorFlow PyTorch Keras Scikit-learn AWS GCP Azure Docker Kubernetes Machine Learning Deep Learning Natural Language Processing Computer Vision MLOps Data Engineering Algorithms Data Structures Git SQL NoSQL

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